Automating Mplus Model Estimation and Interpretation


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Documentation for package ‘MplusAutomation’ version 0.4-3

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MplusAutomation-package Automating Mplus Model Estimation and Interpretation
createModels Create Mplus Input Files from Template
extractModelParameters Extract model parameters from MODEL RESULTS section.
extractModelSummaries Extract summary statistics from a single output file or from a group of Mplus models within a directory
extractModIndices Extract model modification indices.
getSavedata_Bparams Load the draws from the Bayesian model posterior distribution (SAVEDATA BPARAMETERS) command into an R data.frame
getSavedata_Data Load an analysis dataset from the SAVEDATA command into an R data.frame
getSavedata_Fileinfo Read Variable Names, Formats, and Widths from data generated by the SAVEDATA Command
HTMLSummaryTable Create an HTML file containing a summary table of Mplus model statistics
LatexSummaryTable Display summary table of Mplus model statistics in separate window
MplusAutomation Automating Mplus Model Estimation and Interpretation
prepareMplusData Create tab-delimited file and Mplus input syntax from R data.frame
readModels Read Parameters, Summary Statistics, and Savedata from Mplus Output
runModels Run Mplus Models
runModels_Interactive Run Mplus Models Using Graphical Interface
showSummaryTable Display summary table of Mplus model statistics in separate window
testBParamCompoundConstraint Test inequality-constrained hypothesis for two or more parameters based on iterations of MCMC chains
testBParamConstraint Test inequality-constrained hypothesis for two parameters based on iterations of MCMC chains